Design

In-Memory Computing Platforms Solidify

In-Memory Computing Platform (IMCP) company GridGain Systems has enhanced its In-Memory Accelerator for Hadoop. The technology provides speed and scale with Map/Reduce applications without requiring any code change to native MapReduce, HDFS, and YARN environments.

Prior to this announcement, running in-memory computing in an existing Hadoop environment required code changes to the application, reducing developers' abilities to quickly derive the full performance benefits of an in-memory architecture.

This new Hadoop Accelerator is plug and play — within minutes of download developers can deliver up to 10x performance improvement on their Map/Reduce applications.

The firm says that by using its full IMC Platform, customers now can develop "category-defining" applications that process both transactional and analytic data at the speed of RAM and with unlimited scale.

"The GridGain IMC Platform's speed and scalability has been amply demonstrated in transaction-based processing, particularly in financial services, where one of GridGain's largest customers was recently able to achieve one billion ACID transactions per second," said Nikita Ivanov, cofounder and CTO, GridGain Systems.

"But more and more, customers are also looking for a way to enable real-time analytics within their existing Hadoop environment, without having to invest too much time or effort in the process. GridGain's IMC Platform is the first to enhance high-speed, high-scale transactions and real-time analytics with an in-memory plug and play Hadoop Accelerator."

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